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Modelling of Pathologies of the Nervous System by the Example of Computational and Electronic Models of Elementary Nervous Systems

机译:基本神经系统计算与电子模型的典型神经系统病理学建模

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The paper puts forward principles of action of devices operating similarly to the nervous system and the brain of biological systems. We propose an alternative method of studying diseases of the nervous system, which may significantly influence prevention, medical treatment, or at least retardation of development of these diseases. This alternative is to use computational and electronic models of the nervous system. Within this approach, we represent the brain in the form of a huge electrical circuit composed of active units, namely, neuron-like units and connections between them. As a result, we created computational and electronic models of elementary nervous systems, which are based on the principles of functioning of biological nervous systems that we have put forward. Our models demonstrate reactions to external stimuli and their change similarly to the behavior of simplest biological organisms. The models possess the ability of self-training and retraining in real time without human intervention and switching operation/training modes. In our models, training and memorization take place constantly under the influence of stimuli on the organism. Training is without any interruption and switching operation modes. Training and formation of new reflexes occur by means of formation of new connections between excited neurons, between which formation of connections is physically possible. Connections are formed without external influence. They are formed under the influence of local causes. Connections are formed between outputs and inputs of two neurons, when the difference between output and input potentials of excited neurons exceeds a value sufficient to form a new connection. On these grounds, we suggest that the proposed principles truly reflect mechanisms of functioning of biological nervous systems and the brain. In order to confirm the correspondence of the proposed principles to biological nature, we carry out experiments for the study of processes of formation of connections between neurons in simplest biological objects. Based on the correspondence of function of the created models to function of biological nervous systems we suggest the use of computational and electronic models of the brain for the study of its function under normal and pathological conditions, because operating principles of the models are built on principles imitating the function of biological nervous systems and the brain.
机译:本文提出了与神经系统和生物系统的大脑相似操作的装置的作用原则。我们提出了一种研究神经系统疾病的替代方法,这可能会显着影响预防,医疗或至少延迟这些疾病的发展。这种替代方案是使用神经系统的计算和电子模型。在这种方法中,我们代表了由主动单元组成的巨大电路形式的大脑,即神经元状单元和它们之间的连接。因此,我们创建了基本神经系统的计算和电子模型,这是基于我们提出的生物神经系统的功能原理。我们的模型表现出对外部刺激的反应及其变化与最简单的生物生物的行为类似。该模型具有自我训练和实时重新训练的能力,无需人为干预和切换操作/培训模式。在我们的模型中,培训和记忆在刺激对生物体的影响下不断举行。训练没有任何中断和切换操作模式。通过在兴奋神经元之间的新连接形成新的联系之间的培训和形成新反射,在物理上可以进行连接。连接在没有外部影响的情况下形成。它们是在局部原因的影响下形成的。当激发神经元的输出和输入电位之间的差异超过足以形成新连接的值时,在两个神经元的输出和输入之间形成连接。在这些理由上,我们建议提出的原则真正反映了生物神经系统和大脑的运作机制。为了确认提出的原则对生物学的对应关系,我们对最简单的生物物体中神经元之间的形成过程进行了实验。基于所创建模型的功能对生物神经系统功能的对应关系,我们建议使用大脑的计算和电子模型在正常和病理条件下的研究中的研究,因为模型的操作原理是基于原则的模仿生物神经系统和大脑的功能。

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